Paper Citation Record · LEDGER

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.17174.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17174 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:29:09.086070Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy26
unresolved6
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f96bccd9-d969-48c7-b2e8-e080c3c8ee64 · outbound

This paper cites Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.452643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a3860cc6-c52a-4600-a3cc-622d742e98e6 · outbound

This paper cites Learning analysis-by-synthesis for 6D pose estimation in RGB-D images,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Learning analysis-by-synthesis for 6D pose estimation in RGB-D images,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.440592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95f842cc-c6de-4418-bb0c-8e5577856d86 · outbound

This paper cites Posecnn: a convolu- tional neural network for 6D object pose estimation in cluttered scenes,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Posecnn: a convolu- tional neural network for 6D object pose estimation in cluttered scenes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.428499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation adaeb3b5-d7ba-4652-a768-565cb83fd5d4 · outbound

This paper cites Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Bop challenge 2022 on detection, segmentation and pose estimation of specific rigid objects,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.417158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb3c99db-b507-40c9-91c2-aa84297a642a · outbound

This paper cites A method for registration of 3-D shapes,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation A method for registration of 3-D shapes,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.406324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d1373b1-2cc8-4fa6-bb73-2a295e3ead22 · outbound

This paper cites Deepim: Deep iterative matching for 6d pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Deepim: Deep iterative matching for 6d pose estimation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:08.989415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8e3df3-fed6-4701-b23c-9f59861b96ea · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6D pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Cosypose: Consistent multi-view multi-object 6D pose estimation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.388432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ece01e8-c259-413a-8a36-185aa3f504b3 · outbound

This paper cites Perspective flow aggregation for data-limited 6d object pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Perspective flow aggregation for data-limited 6d object pose estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.376752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1927534f-fde8-4637-b01b-c11926b70d89 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for op- tical flow,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Raft: Recurrent all-pairs field transforms for op- tical flow,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:09.000989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa6dc4fe-810d-46f2-b2ca-01766783d243 · outbound

This paper cites Shape-constraint recurrent flow for 6D object pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Shape-constraint recurrent flow for 6D object pose estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.359452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61c4f420-fc71-4951-b900-554ea5f83ee5 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Accelerating 3D Deep Learning with PyTorch3D

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:09.009099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03bfcc0d-fc1d-496f-8074-aca3cc88abb0 · outbound

This paper cites Using relaxation to find a puppet,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Using relaxation to find a puppet,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.348663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3cee1b97-a3ae-46f4-9f52-0aac9da322ca · outbound

This paper cites Attention is all you need,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Attention is all you need,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:09.016969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35eb832d-a56d-4def-abfd-2cf009c12c28 · outbound

This paper cites Learning to esti- mate hidden motions with global motion aggregation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Learning to esti- mate hidden motions with global motion aggregation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.330376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd28ee59-b23a-4af3-b386-932519ee5b6d · outbound

This paper cites Swiftformer: Efficient additive attention for transformer-based real-time mobile vision applications,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Swiftformer: Efficient additive attention for transformer-based real-time mobile vision applications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.319400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95c0b552-6e2b-40c3-9b12-a9164ee7b21b · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:09.027857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be9ab045-9645-45f1-a036-acb1d8d5e227 · outbound

This paper cites Gdr-net: Geometry- guided direct regression network for monocular 6D object pose estima- tion,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Gdr-net: Geometry- guided direct regression network for monocular 6D object pose estima- tion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.308059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5766d6c-cab8-4391-8206-0ac51a97b0a6 · outbound

This paper cites Poet: Pose estimation transformer for single-view, multi-object 6D pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Poet: Pose estimation transformer for single-view, multi-object 6D pose estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.295986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 823d0423-3ad4-40e5-948f-4ac900a56fbd · outbound

This paper cites Pvnet: Pixel- wise voting network for 6DoF pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Pvnet: Pixel- wise voting network for 6DoF pose estimation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.284077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa3d097c-dcb5-4086-b2f4-0816d52c3c63 · outbound

This paper cites High-resolution representation ob- ject pose estimation from monocular images,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation High-resolution representation ob- ject pose estimation from monocular images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.273545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29521977-0d9f-4584-8d8c-aace422f4d98 · outbound

This paper cites Dpodv2: Dense correspondence- based 6 DoF pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Dpodv2: Dense correspondence- based 6 DoF pose estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.261991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e442cc0-e282-48d5-89d6-b03cd3787e05 · outbound

This paper cites Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.249944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 82cdfbde-6400-48d9-994b-df6b85b02d21 · outbound

This paper cites Epnp: An accurate o(n) solution to the PnP problem,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Epnp: An accurate o(n) solution to the PnP problem,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.238092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70f93bbe-3fc6-4d3f-8c3d-f38b45cadfb2 · outbound

This paper cites Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Epro-pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.227015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20672f25-055e-467c-89a0-c9b1067b73cb · outbound

This paper cites Rnnpose: Recurrent 6- Dof object pose refinement with robust correspondence field estimation and pose optimization,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Rnnpose: Recurrent 6- Dof object pose refinement with robust correspondence field estimation and pose optimization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.214836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 100faae3-ee36-4f8a-b42b-02daff7f2363 · outbound

This paper cites Repose: Fast 6D object pose refinement via deep texture rendering,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Repose: Fast 6D object pose refinement via deep texture rendering,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.203037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1654050d-b135-4257-b71c-367ba558af00 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learning rates,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Super-convergence: Very fast training of neural networks using large learning rates,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:29:09.067829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9eb8aeb-2378-430a-91a4-7b62d372c4bf · outbound

This paper cites So-pose: Exploiting self-occlusion for direct 6D pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation So-pose: Exploiting self-occlusion for direct 6D pose estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.184652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61f42fbb-57a5-4616-9839-06247c4a1fa1 · outbound

This paper cites Coupled iterative refinement for 6D multi-object pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Coupled iterative refinement for 6D multi-object pose estimation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.173466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9993b587-af4e-43c7-8c2f-24ef7d01f578 · outbound

This paper cites Sc6d: Symmetry-agnostic and correspondence-free 6D object pose estimation,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Sc6d: Symmetry-agnostic and correspondence-free 6D object pose estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.161740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61785610-31f0-43ee-85c9-d1c4d63cbefa · outbound

This paper cites Bop challenge 2020 on 6D object localization,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Bop challenge 2020 on 6D object localization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.150386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9e08de7-412b-4892-b9c6-07681300d713 · outbound

This paper cites Wide-depth- range 6D object pose estimation in space,.

GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation Wide-depth- range 6D object pose estimation in space,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:29:09.139090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.